Final answer:
To verify the Vector Space Axioms for the given set of vectors, we need to show that the set of real-valued functions defined on the interval (-∞, ∞) under the operations of addition and scalar multiplication satisfies the vector space properties.
Step-by-step explanation:
To verify the Vector Space Axioms for the given set of vectors, we need to show that the set of real-valued functions defined on the interval (-∞, ∞) under the operations of addition and scalar multiplication satisfies the vector space properties.
- Closure under Addition: The sum of two functions in V is also a real-valued function defined on (-∞, ∞). This can be shown by adding the functions f(x) and g(x) as (f+g)(x) = f(x) + g(x), which is still a real-valued function.
- Commutativity of Addition: For any two functions f(x) and g(x) in V, (f+g)(x) = f(x) + g(x) = g(x) + f(x). The order of addition does not matter.
- Associativity of Addition: For any three functions f(x), g(x), and h(x) in V, ((f+g)+h)(x) = (f+g)(x) + h(x) = f(x) + g(x) + h(x) is equal to (f+(g+h))(x) = f(x) + (g+h)(x) = f(x) + g(x) + h(x). The grouping of addition does not matter.
- Existence of Zero Vector: There exists a function 0(x) = 0, which is the zero vector. For any function f(x) in V, (f+0)(x) = f(x) + 0 = f(x).
- Existence of Additive Inverse: For any function f(x) in V, there exists a function -f(x) such that (f+(-f))(x) = f(x) + (-f)(x) = 0(x).
- Closure under Scalar Multiplication: For any function f(x) in V and any scalar k, the product kf(x) is still a real-valued function defined on (-∞, ∞).
- Compatibility of Scalar Multiplication with Field Multiplication: For any scalars k, l and any function f(x) in V, (kl)f(x) = k(lf(x)).
- Identity Element of Scalar Multiplication: The function 1(x) = 1 is the identity element for scalar multiplication. For any function f(x) in V, (1f)(x) = 1*f(x) = f(x).
Since the set of real-valued functions defined on the interval (-∞, ∞) under the operations of addition and scalar multiplication satisfies all the vector space properties, it can be considered a vector space.